RIS-aided constant-envelope beamforming for multiuser wireless power transfer: A max-min approach

As a revolutionary hardware technology that can reconfigure the propagation environment, reconfigurable intelligent surfaces (RISs) have been regarded as a promising solution to enhance wireless networks. In this paper, we consider a multiuser multiple-input single-output (MISO) wireless power trans...

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Vydáno v:China communications Ročník 18; číslo 3; s. 80 - 90
Hlavní autoři: Yang, Huiyuan, Cai, Chang, Yuan, Xiaojun, Liang, Yingchang
Médium: Journal Article
Jazyk:angličtina
Vydáno: China Institute of Communications 01.03.2021
Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
Témata:
Array signal processing
constant- envelope beamforming
Erbium
Hardware
max-min fairness
MISO communication
Optimization
Radio frequency
reconfigurable intelligent surface
Wireless communication
wireless power transfer
wire-less power transfer
constant-envelope beamforming
reconfigurable intelligent surface
max-min fairness
ISSN:1673-5447
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Shrnutí:As a revolutionary hardware technology that can reconfigure the propagation environment, reconfigurable intelligent surfaces (RISs) have been regarded as a promising solution to enhance wireless networks. In this paper, we consider a multiuser multiple-input single-output (MISO) wireless power transfer (WPT) system, which is assisted by several RISs. In order to improve energy efficiency and reduce hardware cost, we consider that the energy transmitter (ET) in the WPT system is equipped with a constant-envelope analog beamformer, instead of a digital beamformer. Focusing on user fairness, we study a minimum received power maximization problem by jointly optimizing the ET beamforming and the RIS phase shifts, subject to the constant-envelope constraints. We iteratively solve this non-convex max-min problem by leveraging both the successive convex approximation (SCA) method and the alternating direction method of multipliers (ADMM) algorithm. Numerical results demonstrate the effectiveness of the proposed algorithm and show attractive performance gain brought by RISs.
ISSN:1673-5447
DOI:10.23919/JCC.2021.03.007